Sentence examples for metadata infrastructures from inspiring English sources

Exact(1)

The configured metadata infrastructures now associated with each item in the collection enable individual datafiles to be accessed based only on knowledge of the persistent identifiers and media type, which can be allowed to default to specific type.

Similar(59)

So can the enterprise metadata infrastructure and the unstructured data domain.

It's using Amazon S3 for media storage and Amazon DynamoDB for metadata — its infrastructure is "massively scalable", adds Teare.

6) Storing and preserving metadata over a data infrastructure (e.g. agINFRA e-infrastructure), provided with persistent identifiers compliant with known standards (e.g EUDAT or DataCite recommendations).

There is no "one size fits all" infrastructure for metadata, especially business metadata.

Finally, the article explains how to optimize metadata and spatial data infrastructure strategy for a successful and sustainable system as well as highlights some emerging trends in the geospatial and general information technology fields that will likely impact future use of these concepts.

Other use cases is the 'handling of metadata' and 'authorization and authentication infrastructure' that both are needed by end-users.

Numerous things need to be kept in mind when planning an infrastructure to support business metadata.

First, this study shows that these techniques are useful in identifying locations, defects, and failure intensities of infrastructure using the location metadata from geotags, words containing the locations, and the frequencies of tweets from each location.

However, integrating data requires infrastructure development, including common metadata standards, an integration framework, data access and preservation policy and practice, harmonized standards, a common economic model for sustaining data, digital object identifiers and tools for data discoverability.

The 5 M's in M5 stand for the intersection of "Metagenomics, Metadata, Meta-analysis, Models, and Meta infrastructure" which target to synthesize the multiple databases with a unified standard and annotation of the metagenomic data in a more comprehensive and effective manner.

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